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Browse CoursesGet up and running with object-oriented programming by watching our Python tutorials. Expert-taught videos on this open-source software explain how to write Python code, including creating functions and objects, and offer Python examples like a normalized database interface and a CRUD application.
By : Faisal Zamir
Learn Five (5) Programming Languages in One Course | Python | JavaScript | CSharp | C...
4 767
59 lectures All Level
By : Data Science Lovers DSL
First step towards Data Science...
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Complete Python and Django: Go from zero to hero in Python 3 and Django...
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2:6:14 hrs 24 lectures All Level
By : Shivek Maharaj
Master the two most popular Data Science and Machine Learning frameworks used for Sci...
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By : Awoke Zemenu Getahun
learn python programing language by building real world projects as a beginner ...
4 588
2:47:31 hrs 22 lectures All Level
By : Data Science Lovers DSL
Start learning data analysis with these beginners friendly projects...
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16 lectures All Level
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Learn Python Programming in 99 Days with Theoretical concepts, Practical, Examples, A...
4.3 562
17:27:46 hrs 538 lectures All Level
By : Hassan Shoayb
Build a complete understanding of Python from the ground up!...
4.1 708
2:53:19 hrs 18 lectures All Level
By : Lucas Bazilio
The modern Haskell course for everyone! Master Haskell with projects, challenges and ...
4.3 493
1:30:37 hrs 18 lectures All Level
By : Edwin Bomela
Learn GeoDjango, by building a Web GIS Application...
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2:45:50 hrs 28 lectures All Level
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Python is a high-level, interpreted programming language known for its readability, simplicity, and versatility. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in various domains, including web development, data science, artificial intelligence, and automation.
Using Python is advantageous due to its clean and concise syntax, making it easy to learn and read. It has a vast standard library and a large ecosystem of third-party packages, facilitating rapid development across different domains. Python's versatility and community support contribute to its popularity.
Python works by interpreting source code at runtime, making it a dynamically-typed language. It uses an indentation-based syntax to define code blocks, emphasizing readability. Python supports both scripting and object-oriented programming, making it suitable for a wide range of applications.
Key elements in Python development include variables, data types, control structures (such as loops and conditionals), functions, and classes for object-oriented programming. Python's extensive standard library, which includes modules for tasks like file I/O, networking, and regular expressions, is crucial for developers.
Yes, Python is accessible to developers of all levels, from beginners to experienced professionals. Its simplicity makes it an excellent language for those learning to program, while its versatility and performance make it a preferred choice for a wide range of applications. The Python community, documentation, and online resources contribute to the language's accessibility and popularity.